About

Agranya Singh is a self-motivated and enthusiastic software engineer with a passion for problem-solving and learning. With over 2 years of relevant experience, Agranya has expertise in full-stack development, RESTful services, DevOps, machine learning, and big data infrastructure. Agranya is proficient in programming languages and frameworks such as Python, Java, JavaScript, Node.js, Django, PySpark, Scikit-Learn, Tensorflow, OpenCV, and NLTK. Additionally, Agranya has experience with orchestration, IaC, and platforms such as Apache Airflow, Puppet, Terraform, Ansible, AWS, Docker, and Hadoop. Currently working as a Software Engineer at Societe Generale, Agranya has designed and set up automation infrastructure from scratch, implemented automated resolution and dispatch of production incidents, and worked on Infrastructure-as-Code development. Agranya has also refactored Python code, set up reporting of well-parsed security logs, and developed auto-resolution of ServiceNow requests. In the past, Agranya has worked as an intern at Societe Generale and as a trainee at PayPal, where they worked on Restful services development using Node.Js, Express.Js, MongoDB, OAuth, and Pug. API Documentation using Swagger. Agranya holds a Bachelor of Technology degree in Computer Science from Vellore Institute of Technology, and senior and secondary education from Welham Boys School and St. Joseph's Academy, Dehradun, respectively. Agranya's tech stack includes Software Engineering, infra, Ansible, Puppet, Terraform, Big Data, Apache Airflow, Docker, Javascript, SQL, Hadoop, AWS, Python, OpenCV, Scikit, ML, Tensorflow, Elastic Search, DevOps, Django, Data Scientist, Deep Learning, NLP, NodeJS, and Java. Agranya's core competencies, coupled with their passion for learning and problem-solving, make them an asset to any team.